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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Transcriptional Profiling Identifies the Lncrna PVT1 As a Novel Regulator of the Asthmatic Phenotype in Human Airway Smooth Muscle
Accepted Manuscript Transcriptional profiling identifies the lncRNA PVT1 as a novel regulator of the asthmatic phenotype in human airway smooth muscle Philip J. Austin, MSc, Eleni Tsitsiou, PhD, Charlotte Boardman, MD, Simon W. Jones, PhD, Mark A. Lindsay, PhD, Ian M. Adcock, PhD, Kian Fan Chung, MD PhD, Mark M. Perry, PhD PII: S0091-6749(16)30571-1 DOI: 10.1016/j.jaci.2016.06.014 Reference: YMAI 12203 To appear in: Journal of Allergy and Clinical Immunology Received Date: 5 April 2016 Revised Date: 24 May 2016 Accepted Date: 13 June 2016 Please cite this article as: Austin PJ, Tsitsiou E, Boardman C, Jones SW, Lindsay MA, Adcock IM, Chung KF, Perry MM, Transcriptional profiling identifies the lncRNA PVT1 as a novel regulator of the asthmatic phenotype in human airway smooth muscle, Journal of Allergy and Clinical Immunology (2016), doi: 10.1016/j.jaci.2016.06.014. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT 1 Transcriptional profiling identifies the lncRNA PVT1 as a novel 2 regulator of the asthmatic phenotype in human airway smooth muscle 3 4 Philip J. Austin MSc 1, Eleni Tsitsiou PhD 2, Charlotte Boardman MD 1, Simon W. -
Discovery of Biased Orientation of Human DNA Motif Sequences Affecting Enhancer-Promoter Interactions and Transcription of Genes
bioRxiv preprint doi: https://doi.org/10.1101/290825; this version posted June 11, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Discovery of biased orientation of human DNA motif sequences 2 affecting enhancer-promoter interactions and transcription of genes 3 4 Naoki Osato1* 5 6 1Department of Bioinformatic Engineering, Graduate School of Information Science 7 and Technology, Osaka University, Osaka 565-0871, Japan 8 *Corresponding author 9 E-mail address: [email protected], [email protected] 10 1 bioRxiv preprint doi: https://doi.org/10.1101/290825; this version posted June 11, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 11 Abstract 12 Chromatin interactions have important roles for enhancer-promoter interactions 13 (EPI) and regulating the transcription of genes. CTCF and cohesin proteins are located 14 at the anchors of chromatin interactions, forming their loop structures. CTCF has 15 insulator function limiting the activity of enhancers into the loops. DNA binding 16 sequences of CTCF indicate their orientation bias at chromatin interaction anchors – 17 forward-reverse (FR) orientation is frequently observed. DNA binding sequences of 18 CTCF were found in open chromatin regions at about 40% - 80% of chromatin 19 interaction anchors in Hi-C and in situ Hi-C experimental data. -
Apoptotic Cells Inflammasome Activity During the Uptake of Macrophage
Downloaded from http://www.jimmunol.org/ by guest on September 29, 2021 is online at: average * The Journal of Immunology , 26 of which you can access for free at: 2012; 188:5682-5693; Prepublished online 20 from submission to initial decision 4 weeks from acceptance to publication April 2012; doi: 10.4049/jimmunol.1103760 http://www.jimmunol.org/content/188/11/5682 Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. Benoit, Elizabeth V. Clarke, Pedro Morgado, Deborah A. Fraser and Andrea J. Tenner J Immunol cites 56 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/04/20/jimmunol.110376 0.DC1 This article http://www.jimmunol.org/content/188/11/5682.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 29, 2021. The Journal of Immunology Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. -
Overview Gene List Target Scan Vs DIANA Group a Group B Group A
Overview Gene list Target scan vs DIANA Group A Group B Group A hsa-miR-181a hsa-miR-323 hsa-miR-326 Target scan Diana microT Overlap Target scan Diana microT Overlap Target scan SEPT3 SEPT3 SEPT3 SEPT7 ADARB1 HPCAL4 ABHD2 ABL2 ABHD13 ACVR2A ADCYAP1R1 AKAP13 PDPK1 ACRBP ACAN ABI1 ADAMTS1 ALAD APOBR ACVRL1 ACCN2 ABLIM1 ADAMTSL1 ANKRD52 ATXN1 ADAM19 ACER3 ACSL1 AKAP7 ARID2 C18orf23,RNF165 ADAM33 ACVR2A ACTN2 ANKRD43 ARL3 C20orf29 ADAMTS2 ADAMTS1 ACVR2A AP1S3 ARRB1 CACNG4 AHCYL2 ADAMTS18 ACVR2B ARID2 BBC3 CCNJL ALOX15B ADAMTS5 ADAM11 ATP11A BTG1 CYP2E1 ANK1 ADAMTSL1 ADAM22 ATXN1 C18orf62 GNB1L ANKS6 ADARB1 ADAMTS1 B4GALT1 C1orf21 GPR61 APBA1 AFAP1 ADAMTS6 BAG4 CADM4 GTSE1 ARCN1 AFTPH ADAMTSL1 BAI3 CALML4 HPCAL4 ARHGEF37 AK3 ADCY9 BNC2 CAPN6 KIAA0152 ARID3B AKAP7 ADRBK1 BRD1 CBFA2T2 KIF1A ARL8A ANAPC16 AFF2 BRWD1 CEBPA MACF1 ATP2B2 ANK1 AHCTF1,AHCTF1PBTBD3 CHD1 MYO1D ATP6V1G2 ANKRD12 AKAP2,PALM2 C13orf23 CIT PCNT AUP1 ANKRD33B AKAP6 C14orf43 CLASP2 PDPK1 BCL2L2 ANKRD43 AKAP7 CAPRIN1 CLCN5 PLEKHG4B BHLHE40 ANKRD44 AKAP9 CARM1 CLIP3 PPARA BTBD3 ANKRD52 AKT3 CBX4 COL5A2 PRB1,PRB2,PRB4 BTRC AP1S3 ALG9 CCDC117 CTNS PTPRT C10orf26 APBA1 ANKRD13C CCNJ DCTN4 PYCR1 C14orf1 APLP2 ANKRD20B CDH13 DCUN1D4 RAPGEF1 C16orf45 APOO ANKRD43 CDON DDB1 SRCAP C16orf54 ARID2 ANKRD50 CDYL DDX39B TMEM63C C1orf106 ARL3 AP1G1 CEP350 DIP2C C1orf27 ARRDC3 AP1S3 CHD7 DNAJB3 C22orf29 ATF7 API5 CHIC1 EEPD1 C9orf3 ATG2B ARFGEF2 CLIP1 EIF2C1 CACNA1E ATG7 ARHGAP12 CNOT6L ELFN2 CAPN12 ATP11A ARHGAP26 CNR1 ELK1 CASKIN1 ATP2B3 ARHGAP29 CNTN4 FAM172A CBFA2T3 ATP8B2 ARHGEF3 CNTNAP2 -
Egfr Activates a Taz-Driven Oncogenic Program in Glioblastoma
EGFR ACTIVATES A TAZ-DRIVEN ONCOGENIC PROGRAM IN GLIOBLASTOMA by Minling Gao A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March 2020 ©2020 Minling Gao All rights reserved Abstract Hyperactivated EGFR signaling is associated with about 45% of Glioblastoma (GBM), the most aggressive and lethal primary brain tumor in humans. However, the oncogenic transcriptional events driven by EGFR are still incompletely understood. We studied the role of the transcription factor TAZ to better understand master transcriptional regulators in mediating the EGFR signaling pathway in GBM. The transcriptional coactivator with PDZ- binding motif (TAZ) and its paralog gene, the Yes-associated protein (YAP) are two transcriptional co-activators that play important roles in multiple cancer types and are regulated in a context-dependent manner by various upstream signaling pathways, e.g. the Hippo, WNT and GPCR signaling. In GBM cells, TAZ functions as an oncogene that drives mesenchymal transition and radioresistance. This thesis intends to broaden our understanding of EGFR signaling and TAZ regulation in GBM. In patient-derived GBM cell models, EGF induced TAZ and its known gene targets through EGFR and downstream tyrosine kinases (ERK1/2 and STAT3). In GBM cells with EGFRvIII, an EGF-independent and constitutively active mutation, TAZ showed EGF- independent hyperactivation when compared to EGFRvIII-negative cells. These results revealed a novel EGFR-TAZ signaling axis in GBM cells. The second contribution of this thesis is that we performed next-generation sequencing to establish the first genome-wide map of EGF-induced TAZ target genes. -
Temporal Endogenous Gene Expression Profiles in Response to Polymer-Mediated Transfection and Profile Comparison to Lipid-Mediated Transfection Timothy M
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Biological Systems Engineering: Papers and Biological Systems Engineering Publications 2015 Temporal endogenous gene expression profiles in response to polymer-mediated transfection and profile comparison to lipid-mediated transfection Timothy M. Martin University of Nebraska Medical Center, [email protected] Sarah A. Plautz University of Nebraska-Lincoln, [email protected] Angela K. Pannier University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/biosysengfacpub Part of the Bioresource and Agricultural Engineering Commons, Environmental Engineering Commons, and the Other Civil and Environmental Engineering Commons Martin, Timothy M.; Plautz, Sarah A.; and Pannier, Angela K., "Temporal endogenous gene expression profiles in response to polymer-mediated transfection and profile comparison to lipid-mediated transfection" (2015). Biological Systems Engineering: Papers and Publications. 518. https://digitalcommons.unl.edu/biosysengfacpub/518 This Article is brought to you for free and open access by the Biological Systems Engineering at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Biological Systems Engineering: Papers and Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Published in The Journal of Gene Medicine 17 (2015), pp. 33–53. doi 10.1002/jgm.2822 PMID: 25663627 Copyright © 2015 John Wiley & Sons, Ltd. Used by permission Submitted 17 November 2014; revised 1 February 2015; accepted 3 February 2015 digitalcommons.unl.edu Temporal endogenous gene expression profiles in response to polymer-mediated transfection and profile comparison to lipid-mediated transfection Timothy M. Martin,1 Sarah A. Plautz,2 and Angela K. -
WO 2012/054896 Al
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number ι (43) International Publication Date ¾ ί t 2 6 April 2012 (26.04.2012) WO 2012/054896 Al (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, C12N 5/00 (2006.01) C12N 15/00 (2006.01) CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, C12N 5/02 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (21) International Application Number: KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, PCT/US201 1/057387 ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, (22) International Filing Date: NO, NZ, OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, 2 1 October 201 1 (21 .10.201 1) RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, (25) Filing Language: English ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 61/406,064 22 October 2010 (22.10.2010) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, 61/415,244 18 November 2010 (18.1 1.2010) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, (71) Applicant (for all designated States except US): BIO- DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, TIME INC. -
Genome-Wide Profiling of Druggable Active Tumor Defense Mechanisms to Enhance Cancer Immunotherapy
bioRxiv preprint doi: https://doi.org/10.1101/843185; this version posted November 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Genome-wide profiling of druggable active tumor defense mechanisms to enhance cancer immunotherapy Rigel J. Kishton1,2,*,#, Shashank J. Patel1,2,†,*, Suman K. Vodnala1,2, Amy E. Decker3, Yogin Patel1,2, Madhusudhanan Sukumar1,2, Tori N. Yamamoto1,2,4, Zhiya Yu1,2, Michelle Ji1,2, Amanda N. Henning1,2, Devikala Gurusamy1,2, Douglas C. Palmer1,2, Winifred Lo1, Anna Pasetto1, Parisa Malekzadeh1, Drew C. Deniger1, Kris C. Wood3, Neville E. Sanjana5,6, Nicholas P. Restifo1,2, #, § 1Surgery Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA 2Center for Cell-Based Therapy, National Cancer Institute, Bethesda, MD 20892, USA 3Department of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, NC, USA 4Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA 5New York Genome Center, New York, NY 10013 USA 6Department of Biology, New York University, New York, NY 10003, USA *These authors contributed equally to this work. †Present address: NextCure Inc., Beltsville, MD 20705, USA §Present address: Lyell Immunopharma, South San Francisco, CA 94080, USA #Corresponding authors. NPR: [email protected]. RJK: [email protected]. bioRxiv preprint doi: https://doi.org/10.1101/843185; this version posted November 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. -
Figure S1. 17-Mer Distribution in the Yangtze Finless Porpoise Genome
Figure S1. 17-mer distribution in the Yangtze finless porpoise genome. The x-axis is 17-mer depth (X); the y-axis is the number of sequencing reads at that depth. Figure S2. Sequence depth distribution of the assembly data. The x-axis shows the sequencing depth (X) and the y-axis shows the number of bases at a given depth. The results demonstrate that 99% of bases sequencing depth is more than 20. Figure S3. Comparison of gene structure characteristics of Yangtze finless porpoise and other cetaceans. The x-axis represents the length of corresponding genetic element of exon number and the y-axis represents gene density. Figure S4. Phylogeny relationships between the Yangtze finless porpoise and other mammals reconstructed by RAxML with the GTR+G+I model. Table S1. Summary of sequenced reads Raw Reads Qualified Reads1 Total Read Sequence Physical Total Read Sequence Physical Library SRA Data Length Coverage2 Coverage2 Data Length Coverage2 Coverage2 Insert Size (bp) Number (Gb) (bp) (×) (×) (Gb) (bp) (×) (×) 289 58.94 150.00 23.67 22.80 57.84 149.75 23.23 22.41 SRR6923836 462 71.33 150.00 28.65 44.12 70.12 149.74 28.16 43.44 SRR6923837 624 67.47 150.00 27.10 56.36 63.90 149.67 25.66 53.50 SRR6923834 791 57.58 150.00 23.12 60.97 55.39 149.67 22.24 58.78 SRR6923835 4,000 108.73 150.00 43.67 582.22 70.74 150.00 28.41 378.80 SRR6923832 7,000 115.4 150.00 46.35 1,081.39 84.76 150.00 34.04 794.27 SRR6923833 11,000 107.37 150.00 43.12 1,581.08 79.78 150.00 32.04 1,174.81 SRR6923830 18,000 127.46 150.00 51.19 3,071.33 97.75 150.00 39.26 2,355.42 SRR6923831 Total 714.28 - 286.87 6,500.27 580.28 - 233.04 4,881.43 - 1Raw reads in mate-paired libraries were filtered to remove duplicates and reads with low quality and/or adapter contamination, raw reads in paired-end libraries were filtered in the same manner then subjected to k-mer-based correction. -
Preview of “Supplement Table S4.Xls”
Annotations for all recurrently lost regions cytoband 1p36.12 3p14.2 3q13.13 q value 0,01352 0,1513 0,085307 residual q value 0,01352 0,1513 0,085307 wide peak boundaries chr1:23457835-23714048 chr3:60396160-60637030 chr3:110456383-110657226 genes in wide peak E2F2 FHIT DPPA4 ID3 DPPA2 TCEA3 DDEFL1 TBC1D19 PI4K2B STIM2 GBA3 KCNIP4 DKFZp761B107 C4orf28 GPR125 FLJ45721 hsa-mir-218-1 CXCL3 GRSF1 HNRPD HTN1 HTN3 IBSP IGFBP7 IGJ IL8 CXCL10 KDR CXCL9 AFF1 MUC7 NKX6-1 PF4 PF4V1 PKD2 POLR2B PPEF2 PPAT PPBP PRKG2 MAPK10 PTPN13 REST CXCL6 CXCL11 CXCL5 SPINK2 SPP1 SRP72 STATH SULT1E1 UGT2B4 UGT2B7 UGT2B10 UGT2B15 UGT2B17 SPARCL1 VDP SLC4A4 HERC3 GENX-3414 CDKL2 TMPRSS11D ABCG2 ADAMTS3 CLOCK CEP135 G3BP2 HNRPDL ENAM FAM13A1 CXCL13 PAICS UGT2B11 HPSE NMU SMR3B NPFFR2 UGT2A1 CCNI hsa-mir-491 hsa-mir-31 4p15.32 4q13.1 4q13.1 (continued) 6q14.1 0,14888 0,17878 0,093693 0,14888 0,17878 0,093693 chr4:17969802-29966659 chr4:55756035-90966136 chr6:76830186-107898353 CCKAR AFM SEC31A AIM1 DHX15 AFP RUFY3 BCKDHB RBPSUH ALB WDFY3 PRDM1 SOD3 AMBN LPHN3 CCNC SLIT2 ANXA3 DKFZP564O0823 CGA SLC34A2 AREG RCHY1 CNR1 PPARGC1A ART3 ANKRD17 EPHA7 KIAA0746 BMP3 BRDG1 GABRR1 ANAPC4 BTC SMR3A GABRR2 SLA/LP CCNG2 ASAHL GRIK2 LGI2 SCARB2 COQ2 HTR1B TBC1D19 CDS1 SULT1B1 HTR1E PI4K2B CENPC1 TMPRSS11E IMPG1 STIM2 CSN1S1 MRPS18C ME1 GBA3 CSN2 COPS4 NT5E KCNIP4 CSN3 HSD17B11 PGM3 DKFZp761B107 DCK HERC5 POU3F2 C4orf28 DMP1 PLAC8 PREP GPR125 DSPP NUDT9 SIM1 FLJ45721 EPHA5 NUP54 ELOVL4 hsa-mir-218-1 EREG UGT2B28 MAP3K7 FGF5 ODAM TPBG GC HERC6 TTK GK2 SDAD1 RNGTT GNRHR UBE1L2 TBX18